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Physics-based modeling and mechanism of polycrystalline diamond tool wear in milling of 70 vol%Si/Al composite 认领 引用 被引量：1
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作者 Lianjia Xin Guolong Zhao +3 位作者 Zhiwen Nian Haotian Yang Liang Li Ning He 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2025年第5期336-356,共21页
High-volume fraction silicon particle-reinforced aluminium matrix composites(Si/Al)are increasingly applied in aerospace,radar communications,and large-scale integrated circuits because of their superior thermal condu... High-volume fraction silicon particle-reinforced aluminium matrix composites(Si/Al)are increasingly applied in aerospace,radar communications,and large-scale integrated circuits because of their superior thermal conductivity,wear resistance,and low thermal expansion coefficient.However,the abrasive and adhesive wear caused by the hard silicon reinforcement and the ductile aluminium matrix leads to significant tool wear,decreased machining efficiency,and compromised surface quality.This study combines theoretical analysis and cutting experiments to investigate polycrystalline diamond(PCD)tool wear during milling of 70 vol%Si/Al composite.A key contribution of this work is the development of a tool wear model that incorporates reinforcement particle characteristics,treating them as ellipsoidal structures,which enhances the accuracy of predicting abrasive and adhesive wear mechanisms.The model is based on abrasive and adhesive wear mechanisms,and can analyze the interaction between silicon particles,aluminium matrix,and tool components,thus providing deeper insights into PCD tool wear processes.Experimental validation of the model shows a good agreement with the results,with a mean deviation of approximately 10%.The findings on the tool wear mechanism reveal that,as tool wear progresses,the proportion of abrasive wear increases from 40%in the running-in stage to 75%in the rapid wear stage,while adhesive wear decreases.The optimal machining parameters of 120 m·min–1 cutting speed(vc)and 0.04 mm·z–1 feed rate(fz),result in tool life of 33 min and surface roughness(Sa)of 2.2μm.The study uncovers the variation patterns of abrasive and adhesive wear during the tool wear process,and the proposed model offers a robust framework for predicting tool wear during the machining of high-volume fraction Si/Al composites.The research findings also offer key insights for optimizing tool selection and machining parameters,advancing both the theoretical understanding and practical application of PCD tool wear. 展开更多
关键词 70 vol%Si/Al composite tool wear PCD tools theoretical model mesoscopic feature
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Physics-based Modeling and Simulation for Motional Cable Harness Design 认领 引用 被引量：8
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作者 LIU Jianhua ZHAO Tao +1 位作者 NING Ruxin LIU Jiashun 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2014年第5期1075-1082,共8页
The design work of motional cable in products is vital due to the difficulty in estimating the potential issues in current researches.In this paper,a physics-based modeling and simulation method for the motional cable... The design work of motional cable in products is vital due to the difficulty in estimating the potential issues in current researches.In this paper,a physics-based modeling and simulation method for the motional cable harness design is presented.The model,based on continuum mechanics,is established by analyzing the force of microelement in equilibrium.During the analysis procedure,three coordinate systems：inertial,Frenet and main-axis coordinate systems are used.By variable substitution and dimensionless processing,the equation set is discretized by differential quadrature method and subsequently becomes an overdetermined nonlinear equation set with boundary conditions solved by Levenberg-Marquardt method.With the profile of motional cable harness obtained from the integral of arithmetic solution,a motion simulation system based on＂path＂and＂profile＂as well as the experimental equipments is built.Using the same parameters as input for the simulation and the real cable harness correspondingly,the issue in designing,such as collision,can be easily found by the simulation system.This research obtains a better result which has no potential collisions by redesign,and the proposed method can be used as an accurate and efficient way in motional cable harness design work. 展开更多
关键词 motional cable harness physics-based modeling motion simulation Kirchhoff rod
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A Physics-Based Viscoelastic Model and Its Peridynamic Implementation for Polymeric Materials 认领 引用 被引量：1
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作者 Jun Liu Zewen Gao +4 位作者 Shuang Liang Yaxin Zhu Lv Zhao Minsheng Huang Zhenhuan Li 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2026年第6期843-856,共14页
Developing constitutive models linking chain dynamics to the macroscopic viscoelasticity and fracture of polymeric materials remains challenging.This work presents a physics-informed viscoelastic model accounting for ... Developing constitutive models linking chain dynamics to the macroscopic viscoelasticity and fracture of polymeric materials remains challenging.This work presents a physics-informed viscoelastic model accounting for the microstructural evolution of free chains.The viscous stress is decomposed into the relaxation effect arising from the transient elongation of free chains and the disentanglement effect resulting from the release of topological constraints.A deformation-dependent relaxation spectrum is introduced through a revised three-chain model to govern the evolution of free-chain relaxation times in response to macroscopic stretches,enabling the present model to address complex deformation states and loading histories.The present model is comprehensively validated against experimental data for various polymeric materials,accurately capturing their viscoelastic mechanical responses.Furthermore,the present model is incorporated into a peridynamics framework,establishing an integrated numerical method for simulating concurrent viscoelastic deformation and fracture.By establishing a physics-based link from chain dynamics to macroscopic viscoelasticity and fracture,this work provides a powerful tool for modulating the time-dependent properties of polymeric materials and offers new insights into the mechanisms governing viscoelasticity and fracture behavior. 展开更多
关键词 Viscoelastic model Fracture Chain relaxation Disentanglement Peridynamics Finite deformation Energy dissipation
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Physics-based RRAM compact model for multilevel programming across multiple timescales 认领 引用
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作者 Tommaso Zanotti Tommaso Rizzi +6 位作者 Emilio Pérez-Bosch Quesada Andrea Baroni Keerthi Dorai Swamy Reddy Eduardo Pérez Christian Wenger Paolo Pavan Francesco Maria Puglisi 《Journal of Semiconductors》 EI CAS CSCD 2026年第6期81-94,共14页
Resistive random access memories(RRAMs)are emerging as a key enabling technology for cost-effective,energy-efficient and secure chips,especially in the framework of edge computing.In particular,their electrically prog... Resistive random access memories(RRAMs)are emerging as a key enabling technology for cost-effective,energy-efficient and secure chips,especially in the framework of edge computing.In particular,their electrically programmable resistance has been widely exploited in several in-memory computing and neuromorphic architectures.By adjusting the applied voltages and compliance currents(IC),RRAM devices can be programmed to multiple resistance states during set and reset procedures,enabling multilevel functionality.While the multilevel behavior of the reset phase is generally well captured by existing compact models,only a few account for the multilevel characteristics of the set operations.Moreover,such models are rarely validated against comprehensive experimental datasets capturing device dynamics across multiple timescales.In this work,we present a physics-based compact model that enhances the UniMORE RRAM framework by incorporating the dynamic lateral evolution of the conductive filament(CF),thereby enabling accurate simulation of set operations at varying IC values.The model is calibrated to experimental data from IHP 130 nm 1T1R RRAM technology and reproduces device behavior across several operating conditions using a single set of parameters.The results highlight the potential of the proposed compact model in design optimization workflows of RRAM-based circuits. 展开更多
关键词 RRAM compact model multilevel conductive filament
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Physics-Based Modelling of Plasma-Material Interactions and Phase Transformations in Electrical Discharge Machining: A Computational Materials Perspective 认领 引用
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作者 Kamlesh Paswan Rajnish Singh +3 位作者 Vivekanand Singh Brihaspati Singh Ankur Saxena Chandrmani Yadav 《Computers, Materials & Continua》 SCIE EI 2026年第8期234-285,共52页
Electrical Discharge Machining(EDM)is governed by highly coupled,nonlinear electro-thermal-mechanical phenomena involving plasma-mediated energy transfer,rapid heat conduction,phase transformation,and resolidification... Electrical Discharge Machining(EDM)is governed by highly coupled,nonlinear electro-thermal-mechanical phenomena involving plasma-mediated energy transfer,rapid heat conduction,phase transformation,and resolidification over micro to nanosecond time scales.From a computational materials science perspective,EDM serves as a prototypical problem of extreme,localised energy–matter interaction,where predictive modelling requires rigorous treatment of multiphysics coupling and scale bridging.This review presents a critical synthesis of theoretical and numerical frameworks for modelling advanced EDM configurations,including vibration-assisted and turning-based EDM,powder-and nano-additive-assisted EDM,and alternative dielectric environments.The review consolidates continuum-based formulations that describe the evolution of the electric field,plasma channel dynamics,and transient heat transfer,typically governed by Maxwell’s equations coupled with Fourier and non-Fourier heat conduction models.Thermo-fluid and thermo-mechanical models accounting for melt flow,recoil pressure,surface tension,and thermal stress evolution are analysed for their ability to predict crater geometry,recast layer formation,and subsurface damage.The influence of externally imposed perturbations such as mechanical vibration,relative rotational kinematics,and particle-mediated plasma modulation is discussed through modifications in boundary conditions,energy partition coefficients,and effective transport properties.Multiscale modelling strategies that bridge discharge-scale plasma physics with mesoscale thermal fields and microscale material response are critically reviewed,including hybrid finite element–finite volume schemes and reduced-order models.In parallel,data-driven surrogate models and machine learning approaches are examined for parameter inference,uncertainty reduction,and rapid prediction of material behaviour.Major challenges related to model closure,scale separation,and experimental validation are identified,and future research directions are outlined toward fully coupled multiscale and digital twin frameworks for predictive EDM-induced material response. 展开更多
关键词 Electrical discharge machining plasma–material interaction multiphysics and multiscale modelling phase transformation thermo-mechanical effects machine learning-assisted EDM
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An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modeling 认领 引用 被引量：2
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作者 Lei Liu Wei Li +7 位作者 Jian Gao Da-Li Yue De-Gang Wu Wu-Rong Wang Jin Lin Zhi-Bo Li Qian Zhong Jia-Gen Hou 《Petroleum Science》 SCIE EI CAS CSCD 2026年第4期1754-1772,共19页
Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we... Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we innovatively propose an interpretable attention-guided generative adversarial network framework with dual-domain learning,which achieves precise sedimentary facies modeling under the constraints of well facies and soft probability data.Specifically,we first effectively extract and preserve prior information of sedimentary facies models from both spatial and frequency domain perspectives.Then,during simulation,to enhance the capability of the network model for finely characterizing complex heterogeneous models,cross-spatial attention mechanisms are designed to effectively capture short-range and long-range dependencies between multi-scale pattern features.Additionally,through systematic feature map visualization analysis,we elucidate the processes of conditional fitting and complex sedimentary facies model reconstruction,intuitively demonstrating the functional mechanisms of each module.Finally,systematic experiments are conducted on multiple datasets to validate the effectiveness of the proposed method.The results demonstrate that the generated sedimentary facies models exhibit high consistency with training datasets in terms of visual realism and statistical indicators.Quantitative comparisons reveal remarkable performance of the method,achieving low Wasserstein distance(0.09),Kernel Inception Distance(0.0017)and Kernel Maximum Mean Discrepancy(0.21).These findings further confirm the high realism of the generated realizations regarding pattern features.This study offers a reliable and practical method for geological reservoir modeling,thereby advancing quantitative,precise geological research with broad application prospects. 展开更多
关键词 Sedimentary facies models Attention-guided generative adversarial network Interpretable framework Sedimentary patterns Multi-condition modeling
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Dynamic modeling of spatial variable stator vane mechanism using modified Lagrange multiplier method 认领 引用 被引量：1
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作者 Ke HE Kaiyi HUANG +2 位作者 Zhen LI Shuhui HU Zhinan ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期251-271,共21页
The Variable Stator Vanes(VSV)system ensures the smooth operation of the highpressure compressor by adjusting the vane angles to prevent surge,and the dynamic behavior of its multistage vanes directly affects its serv... The Variable Stator Vanes(VSV)system ensures the smooth operation of the highpressure compressor by adjusting the vane angles to prevent surge,and the dynamic behavior of its multistage vanes directly affects its service performance.To investigate the dynamic behavior of the spatial VSV multi-vane mechanism,a positional constraint equation for the VSV mechanism was established,and the numerical expressions of the Jacobian matrices for different kinematic pair constraint equations were derived.The Lagrange multiplier method was modified for spatial rotation,and an ideal dynamic model of the spatial VSV multi-vane mechanism was developed.The computational results indicate that the dynamic behavior of different vanes within the same stage is similar,and the constraint moment experienced by vanes at different positions has a linear relationship with their centroid coordinates.This study expands the dynamic modeling methods for spatial mechanisms and provides a foundation for researching the frictional dynamic behavior of VSV mechanisms with clearance. 展开更多
关键词 Dynamic characteristics Dynamic models Lagrange multipliers Spatial dynamic modeling:VSV
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A peridynamics modeling approach for pre-cracked rock cracking processes under impact by integrating Drucker-Prager plasticity model and efficient contact model 认领 引用 被引量：2
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作者 Jingzhi Tu Nengxiong Xu Gang Mei 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期179-195,共17页
In rock engineering,natural cracks in rock masses subjected to external loads tend to initiate and propagate,leading to potential safety hazards.To investigate the effect of cracking behavior on the mechanical propert... In rock engineering,natural cracks in rock masses subjected to external loads tend to initiate and propagate,leading to potential safety hazards.To investigate the effect of cracking behavior on the mechanical properties of rocks,the cracking processes of pre-cracked rocks have been extensively studied using numerical modeling methods.The peridynamics(PD)exhibits advantages over other numerical methods due to the absence of the requirements for remeshing and external crack growth criterion.However,for modeling pre-cracked rock cracking processes under impact,current PD implementations lack generally applicable rock constitutive models and impact contact models,which leads to difficulties in determining rock material parameters and efficiently calculating impact loads.This paper proposes a non-ordinary state-based peridynamics(NOSBPD)modeling method integrating the Drucker-Prager(DP)plasticity model and an efficient contact model to address the above problems.In the proposed method,the Drucker-Prager plasticity model is integrated into the NOSBPD,thereby equipping NOSBPD with the capability to accurately characterize the nonlinear stress-strain relationship inherent in rocks.An efficient contact model between particles and meshes is designed to calculate the impact loads,which is essentially a coupling method of PD with the finite element method(FEM).The effectiveness of the proposed NOSBPD modeling method is verified by comparison with other numerical methods and experiments.Experimental results indicate that the proposed method can effectively and accurately predict the 3D cracking processes of pre-cracked cracks under impact loading,and the maximum principal stress is the key driver behind wing crack formation in pre-cracked rocks. 展开更多
关键词 Pre-cracked rocks Cracking processes Non-ordinary state-based peridynamics (NOSBPD) Drucker-Prager plasticity model Efficient contact model
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Meshless methods for physics-based modeling and simulation of deformable models 认领 引用 被引量：2
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作者 GUO XiaoHu QIN Hong 《Science in China(Series F)》 2009年第3期401-417,共17页
As 3D digital photographic and scanning devices produce higher resolution images, acquired geometric data sets grow more complex in terms of the modeled objects＇ size, geometry, and topology. As a consequence, point-... As 3D digital photographic and scanning devices produce higher resolution images, acquired geometric data sets grow more complex in terms of the modeled objects＇ size, geometry, and topology. As a consequence, point-sampled geometry is becoming ubiquitous in graphics and geometric information processing, and poses new challenges which have not been fully resolved by the state-of-art graphical techniques. In this paper, we address the challenges by proposing a meshless computational framework for dynamic modeling and simulation of solids and thin-shells represented as point sam- ples. Our meshless framework can directly compute the elastic deformation and fracture propagation for any scanned point geometry, without the need of converting them to polygonal meshes or higher order spline representations. We address the necessary computational techniques, such as Moving Least Squares, Hierarchical Discretization, and Modal Warping, to effectively and efficiently compute the physical simulation in real-time. This meahless computational framework aims to bridge the gap between the point-sampled geometry with physics-based modeling and simulation governed by partial differential equations. 展开更多
关键词 meshless method physics-based modeling physics-based simulation deformable models
Time-dependent behavior of deep roadway surrounding rock considering damage induced by excavation and mining disturbances:Experiments,modeling,and simulation 认领 引用 被引量：1
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作者 Qingzhe Cui Rongbin Hou +4 位作者 Zhenhua Li Feng Du Xu Chen Boyang Zhang Lielie Li 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第2期439-456,共18页
In deep coal mining,surrounding rock is subjected to both high in-situ stress and intense mining disturbances,leading to significant time-dependent behavior.Accurately capturing this behavior is essential for predicti... In deep coal mining,surrounding rock is subjected to both high in-situ stress and intense mining disturbances,leading to significant time-dependent behavior.Accurately capturing this behavior is essential for predicting long-term roadway stability,necessitating the development of a reliable constitutive creep model and numerical simulation approach.In this study,creep experiments were conducted on pre-damaged rock with varying initial damage levels to investigate the time-dependent mechanical properties.Based on the experimental results,an accelerated-creep criterion was proposed,and an elastic-viscoplastic creep damage model(EVPCD)was established that simultaneously considers the effects of time-dependent damage and instantaneous damage caused by stress disturbances on rock creep behavior.Subsequently,the effectiveness of the proposed creep model was verified using experimental data,and the secondary development of the EVPCD model was completed based on the FLAC3D platform.Following this,a long-term stability analysis method of deep surrounding rock that accounts for excavation-and mining-induced disturbances was proposed.Using the main roadway of Xutuan Coal Mine as a case study,numerical simulations were carried out to investigate the time-dependent deformation and failure characteristics of the surrounding rock following excavation and mining disturbance.Combined with on-site monitoring of the surrounding rock damage areas,the results indicate that the EVPCD outperforms the CVISC and Nishihara models in predicting the time-dependent behavior of deep surrounding rock. 展开更多
关键词 Initial damage Time-dependent damage Creep model Numerical implementation Damage evolution
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Non-landslide sample for landslide susceptibility prediction modeling:A review of selection strategies and their influence rules 认领 引用 被引量：1
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作者 Zhuo Jia Zhijin Cheng +3 位作者 Zhilu Chang Qin Li Faming Huang Yuhao Peng 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第4期2859-2880,共22页
A proper non-landslide sample selection strategy can improve landslide susceptibility prediction(LSP)accuracy.However,there may be uncertainties regarding the compatibility between different selection strategies and m... A proper non-landslide sample selection strategy can improve landslide susceptibility prediction(LSP)accuracy.However,there may be uncertainties regarding the compatibility between different selection strategies and machine learning models,as well as in the extent of LSP performance enhancement after their coupling.To overcome these uncertainties,this study takes Wuning county of China as a case area,collecting 24 conditioning factors and 379 landslides data.Four non-landslide sample selection strategies,namely random selection,low-slope,buffer zone,and semi-supervised strategies,are then combined with landslide samples in a 1:1 ratio to serve as input variables for constructing LSP models using support vector machine(SVM),logistic regression(LR),random forest(RF)and extreme gradient boosting(XGBoost).Finally,the uncertainty of semi-supervised machine learning coupled models with a 1:2 ratio of landslide to non-landslide samples is analyzed and compared.The results show that:(1)The semi-supervised and low-slope strategies demonstrate higher prediction accuracy compared to the buffer zone and random selection strategies.Moreover,the RF coupled models are the most reliable,followed by the XGBoost,SVM,and LR coupled models;(2)Compared to a 1:1 ratio,a 1:2 ratio of landslide to non-landslide samples significantly improves prediction accuracy,suggesting that appropriately increasing the proportion of non-landslide samples helps to mitigate overfitting and enhance the identification of landslide samples;and(3)LSP is more sensitive to non-landslide sample selection strategies than to the choice of machine learning models.In conclusion,prioritizing reliable non-landslide samples is crucial for improving accuracy of LSP. 展开更多
关键词 Landslide susceptibility prediction Non-landslide sample selection Machine learning models Uncertainty analysis
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Automatic gating and riser system design and defect control for K4169 superalloy guide blade casting based on parametric 3D modeling-simulation integrated system 认领 引用 被引量：1
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作者 Le-chuan Li Ya-jun Yin +4 位作者 Bing-zheng Fan Guo-yan Shui Xiao-yuan Ji Jian-xin Zhou Lei Jin 《China Foundry》 SCIE EI CAS CSCD 2026年第1期20-30,共11页
Automation and intelligence have become the primary trends in the design of investment casting processes.However,the design of gating and riser systems still lacks precise quantitative evaluation criteria.Numerical si... Automation and intelligence have become the primary trends in the design of investment casting processes.However,the design of gating and riser systems still lacks precise quantitative evaluation criteria.Numerical simulation plays a significant role in quantitatively evaluating current processes and making targeted improvements,but its limitations lie in the inability to dynamically reflect the formation outcomes of castings under varying process conditions,making real-time adjustments to gating and riser designs challenging.In this study,an automated design model for gating and riser systems based on integrated parametric 3D modeling-simulation framework is proposed,which enhances the flexibility and usability of evaluating the casting process by simulation.Firstly,geometric feature extraction technology is employed to obtain the geometric information of the target casting.Based on this information,an automated design framework for gating and riser systems is established,incorporating multiple structural parameters for real-time process control.Subsequently,the simulation results for various structural parameters are analyzed,and the influence of these parameters on casting formation is thoroughly investigated.Finally,the optimal design scheme is generated and validated through experimental verification.Simulation analysis and experimental results show that using a larger gate neck(24 mm in side length) and external risers promotes a more uniform temperature distribution and a more stable flow state,effectively eliminating shrinkage cavities and enhancing process yield by 15%. 展开更多
关键词 numerical simulation automatic design investment casting parametric 3D modeling gating and riser system
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Multi-scale modeling of ultra-thin commercially pure titanium sheet for fuel cell bipolar plates:Plastic anisotropy and distortional strain hardening 认领 引用 被引量：1
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作者 Kyung Mun Min Seonghwan Choi +2 位作者 Xiaohua Hu Jinwoo Lee Hyuk Jong Bong 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第5期1637-1651,共15页
This study presents a multi-scale modeling framework to describe the mechanical behavior of a 0.1 mm-thick commercially pure titanium(CP-Ti)sheet developed for fuel cell bipolar plates.Since standardized methods for c... This study presents a multi-scale modeling framework to describe the mechanical behavior of a 0.1 mm-thick commercially pure titanium(CP-Ti)sheet developed for fuel cell bipolar plates.Since standardized methods for characterizing ultra-thin sheets under complex stress states are lacking,a virtual modeling approach was employed.At the grain scale,a crystal plasticity finite element(CPFE)model was constructed to incorporate the relevant slip and twinning systems,enabling prediction of responses under diverse loading conditions.Extending to the continuum scale,the CPFE results,combined with tensile data,were used to calibrate an advanced constitutive model based on the evolutionary Yld2000-2d yield function,capable of capturing anisotropic behavior.Validation against independent limiting dome height tests confirmed the predictive accuracy of the framework.The proposed approach provides a basis for simulating the forming behavior of ultra-thin CP-Ti sheets and supports precise manufacturing of bipolar plates in fuel cell systems. 展开更多
关键词 commercially pure titanium sheet crystal plasticity plastic anisotropy distortional strain hardening multi-scale modeling
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Modeling adaptive growth in forest trees:Integrating individual variation to understand climate responses in widely-distributed species 认领 引用 被引量：1
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作者 Arne Buechling Charles D.Canham +9 位作者 Nataliya Korolyova Melanie Saulnier Patrick H.Martin Magnuz Engardt Martin Mikoláš Ondřej Vostarek Daniel Kozák Pavel Janda Jeňýk Hofmeister Miroslav Svoboda 《Forest Ecosystems》 SCIE CAS CSCD 2026年第3期797-811,共15页
An improved understanding of how forest trees may respond individually and differentially to climate across broad environmental gradients,due to adaptation or physiological acclimation,may facilitate more robust forec... An improved understanding of how forest trees may respond individually and differentially to climate across broad environmental gradients,due to adaptation or physiological acclimation,may facilitate more robust forecasts of forest resilience under climate change.We present a framework for modeling stem diameter growth in adult canopy trees that accounts for responses to climate that may be unique for individuals in different ecological settings.We used data from>10,000 tree cores from 888 forest inventory plots distributed across wide climatic gradients in two mountain ranges in Europe.We formulated a suite of nonlinear models for each of the four species to understand factors regulating annual radial growth.The models accounted for the effects of tree ontogeny,competition,nitrogen deposition(Nd),temperature,and precipitation.We compared two approaches to evaluate evidence for adaptation or acclimation in the growth-climate relations of trees.One method tested whether growth responses diverged for individual trees associated with distinct climate regimes.An alternate method fitted climate response functions with the deviation of climate in a given year from the prevailing average conditions at a tree location.We also tested whether the peak height of this function,representing the maximum growth capacity of a tree,depended on local average climate.For all taxa,models that incorporated within-species variation received stronger support relative to simpler models that assumed a consistent species-average growth response to climate.Growth in all but one species was best predicted by models fitted with climate deviations.Trees differed markedly in terms of their peak growth potential and climate optima,and in some cases,occupied suboptimal environments.Growth responses to nitrogen(N)inputs were also modulated by climate.Our framework offers a flexible approach for integrating individual-level climate sensitivity into tree demography models,which may allow for more rigorous investigations of forest dynamics,the outcomes of which may inform adaptive management strategies for mitigating climate change impacts. 展开更多
关键词 Acclimation Competition Differentiation Gaussian functions Local adaptation Nitrogen deposition(Nd) Nonlinear growth models
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Deformation characteristics of unsaturated slope during post-rainfall earthquake:Insights from centrifuge and numerical modeling 认领 引用 被引量：1
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作者 Jiawei Xu Kun Fang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期380-397,共18页
Slopes are likely to fail in areas with frequent rainfall and earthquakes.The deformation characteristics of unsaturated slopes subjected to post-rainfall earthquakes are investigated using centrifuge model tests and ... Slopes are likely to fail in areas with frequent rainfall and earthquakes.The deformation characteristics of unsaturated slopes subjected to post-rainfall earthquakes are investigated using centrifuge model tests and finite element analyses.Three tests of the slope deformation under earthquake and post-rainfall earthquakes are first studied using image analysis techniques.Then,based on an elastoplastic constitutive model,numerical simulations are carried out using the finite element method and compared with the centrifuge test results.Finally,a parametric study is performed to clarify the effects of antecedent rainfall on earthquake-induced slope deformation.The results show that slope deformation caused by post-rainfall earthquakes differs from that caused by earthquakes without antecedent rainfall.The seepage flow and soil strength of the slope are affected by previous rainfall conditions,such as intensity and duration,which directly influence the slope deformation caused by the subsequent earthquake.Soil displacement and strain become greater and the slip surface is more noticeable during the post-rainfall earthquake of higher intensity.In addition,the time interval between the rainfall and the earthquake has a considerable impact on the detailed characteristics of the slope deformation,and the significant deformation occurs at the time of lowest soil strength when seepage flow reaches the lower part of the slope.Moreover,the repeated intermittent rainfall greatly affects the subsequent earthquake-induced slope deformation,the main characteristics of which are closely related to the changes in saturation and strength of the slope.However,with the prolonged time gap between each round of rainfall,the earthquake-induced slope deformation becomes insignificant. 展开更多
关键词 Slope Deformation Post-rainfall earthquake Centrifuge model test Finite element analysis
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Modeling of Precipitation over Africa:Progress,Challenges,and Prospects 认领 引用
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作者 A.A.AKINSANOLA C.N.WENHAJI +21 位作者 R.BARIMALALA P.-A.MONERIE R.D.DIXON A.T.TAMOFFO M.O.ADENIYI V.ONGOMA I.DIALLO M.GUDOSHAVA C.M.WAINWRIGHT R.JAMES K.C.SILVERIO A.FAYE S.S.NANGOMBE M.W.POKAM D.A.VONDOU N.C.G.HART I.PINTO M.KILAVI S.HAGOS E.N.RAJAGOPAL R.K.KOLLI S.JOSEPH 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第1期59-86,共28页
In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and cha... In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and change.Likewise,this period has seen a significant increase in our understanding of the physical processes and mechanisms that drive precipitation and its variability across different regions of Africa.By leveraging a large volume of climate model outputs,numerous studies have investigated the model representation of African precipitation as well as underlying physical processes.These studies have assessed whether the physical processes are well depicted and whether the models are fit for informing mitigation and adaptation strategies.This paper provides a review of the progress in precipitation simulation overAfrica in state-of-the-science climate models and discusses the major issues and challenges that remain. 展开更多
关键词 rainfall monsoon climate modeling CORDEX CMIP6 convection-permitting models
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Variable pseudo-particle modeling for molecular dynamics simulation 认领 引用
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作者 Tianhao Qiu Mingcan Zhao +2 位作者 Chengxiang Li Yaning Zhang Wei Ge 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第3期218-230,共13页
Hard sphere(HS)models are efficient for molecular dynamics simulation of dilute gases,but exhibit limitations for dense and real gases due to its oversimplification of molecular interactions.To improve simulation accu... Hard sphere(HS)models are efficient for molecular dynamics simulation of dilute gases,but exhibit limitations for dense and real gases due to its oversimplification of molecular interactions.To improve simulation accuracy for real gases,the variable hard sphere(VHS)model has been proposed.However,similar to the HS model,VHS is difficult to parallelize in computing due to its inherent serial algorithm.The pseudo-particle modeling(PPM),based on a modified HS model,can circumvent this difficulty to some extent and,when further coupled with HS,can achieve almost linear scalability at large-scales,but it is still difficult to accurately simulate real gases.In this work,a variable-diameter model based on PPM(VPPM)was proposed,in which the collision diameter is dynamically determined by the timestep and relative velocity of colliding particle pairs.Through systematic investigation of gas system properties including the mean free path,compressibility factor,and self-diffusion coefficient,the VPPM simulation shows excellent agreement with the VHS results,confirming both the model's effectiveness and successful coupling of VHS and VPPM.Furthermore,the viscosity coefficients of three-dimensional real gases obtained by VPPM in the temperature range of 300-2000 K are consistent with experimental data,with a maximum relative deviation of only 3.7%,significantly outperforming conventional PPM(48% deviation)and Chapman-Enskog theory(35% deviation).It demonstrates that VPPM is highly suitable for accurate and large-scale parallel simulations of real gases,particularly in high temperaturegradient systems such as gas-solid catalytic reaction,gas diffusion,adsorption and separation in chemical engineering,and aerospace applications,especially under significant temperature gradients. 展开更多
关键词 Variable-diameter model Molecular simulation HS-PPM coupling Viscosity Model
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Modeling reaction between high-Al steel and slag with consideration of MgO-refractory dissolution into slag 认领 引用
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作者 Rong-Zhen Mo Chi-Hao Zhang +1 位作者 Ying Ren Li-Feng Zhang 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第3期106-115,共10页
The dissolution of MgO-refractory into the slag had an obvious influence on the steel-slag reaction and the slag property,especially for high-aluminum steels.The dissolution behavior of MgO-refractory was investigated... The dissolution of MgO-refractory into the slag had an obvious influence on the steel-slag reaction and the slag property,especially for high-aluminum steels.The dissolution behavior of MgO-refractory was investigated under various conditions,including the temperature,the initial steel composition,and the initial slag composition.A steel-slag-refractory kinetic model for high-aluminum steel was developed,which incorporated the process of MgO-refractory dissolution.The dependence of the MgO mass transfer coefficient kMgOron temperature T during MgO-refractory dissolution process was established,as described by ln kMgOr=63,754/T+24.38524.It was indicated that the MgO dissolution rate was significantly influenced by the temperature.A higher temperature increased the dissolution rate of MgO.The initial steel composition had a slight impact on the MgO dissolution rate.Additionally,the initial slag composition strongly impacted the MgO saturation concentration and the dissolution rate.A lower initial Al2O3/SiO2ratio increased the MgO dissolution rate.The steel-slag-refractory kinetic model accurately predicted the dissolution of MgO-refractory and the influence of dissolved MgO on the viscosity and composition change during steel-slag-refractory reactions.It was suggested that a higher temperature can hardly reduce the viscosity due to the dissolution of the MgO-refractory. 展开更多
关键词 MgO-refractory Steel-slag-refractory model Kinetic model High-aluminum steel Mold flux
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Large Language Model-Enabled Constitutive Modeling for Rate-Dependent Plasticity and Automatic UMAT Subroutine Generation 认领 引用
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作者 Yuchuan Gu Lusheng Wang +3 位作者 Jun Ding Yanhong Peng Changgeng Li Shaojie Gu 《Computers, Materials & Continua》 SCIE EI 2026年第5期315-329,共15页
In materials science and engineering design,high-fidelity and high-efficiency numerical simulation has become a driving force for innovation and practical implementation.To address longstanding bottlenecks in the deve... In materials science and engineering design,high-fidelity and high-efficiency numerical simulation has become a driving force for innovation and practical implementation.To address longstanding bottlenecks in the development of conventional material constitutive models—such as lengthy modeling cycles and difficulties in numerical implementation—this study proposes an intelligent modeling and code generation approach powered by large languagemodels.A structured knowledge base integrating constitutive theory,numerical algorithms,and UMAT(User Material)interface specifications is constructed,and a retrieval-augmented generation strategy is employed to establish an end-to-end workflow spanning experimental data parsing,constitutive model formulation,and automatic UMAT subroutine generation.Experimental results show that the method achieves high accuracy for both a classical Johnson–Cookmodel and a physics-informed neural network(PINN)model,with key parameter identification errors below 5%.Moreover,the automatically generated UMAT subroutines yield finite element simulation results in Abaqus that are highly consistent with theoretical predictions(coefficient of determination R2>0.98)while maintaining good numerical stability.This framework is currently focused on the automatic construction of rate-dependent elastoplastic material models,and its core method also provides a clear path for extending to other constitutive categories such as hyperelasticity and viscoelasticity.This work provides an effective technical route for the rapid development and reliable numerical implementation of material constitutive models,significantly advancing the intelligence level of computational mechanics research and improving engineering application efficiency. 展开更多
关键词 Large language model constitutive model UMAT subroutine
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Parametric Modeling of Glottal Flow in Form of Piecewise Differential Equations 认领 引用
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作者 MUSHTAQ Tahir MURTAZA Sadaf +2 位作者 SALEEM Muhammad FARHAD Khurram EJAZ Muhammad Faisal 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第4期1048-1056,I0021,共9页
For realistic speech generation,variation in glottal waveform models has long been proposed.Due to simplicity and efficiency,the parametric models of the glottal flow are very popular in the field of speech generation... For realistic speech generation,variation in glottal waveform models has long been proposed.Due to simplicity and efficiency,the parametric models of the glottal flow are very popular in the field of speech generation.The proposed work presents a new approach to modeling the glottal flow.The current model is comprised of two piecewise differential equations that generate a glottal pulse.The first and second differential equations generate the opening and closing phases of the vocal folds,respectively while the closed phase is taken as zero.There are four parameters involved in the proposed model to bring variation in the shape of the glottal pulse.The current model is very flexible in designing a glottal pulse and is comparable with the famous Liljencrants-Fant model,Rosenberg model,and KLGLOTT88 model.This comparison supports its successful implementation as a voice source in speech synthesis which also leads to the validity of our differential equation-based glottal model. 展开更多
关键词 glottal flow Liljencrants-Fant glottal model vocal folds parametric model differential form
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